Concurrent Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG) for the exploration of brain connectivity https://www.cimec.unitn.it/en/CoNeCo

Giacomo Bertazzoli 7e2a23dd09 Add 'code' 1 week ago
sub-01 338ec97427 fixed wrong deletions 1 year ago
sub-02 338ec97427 fixed wrong deletions 1 year ago
sub-03 338ec97427 fixed wrong deletions 1 year ago
sub-04 603c7c0427 upload new eeg and NIBS representation 1 year ago
sub-05 fe788384bb upload new eeg and NIBS representation 1 year ago
sub-06 bbeca1c9a9 upload new eeg and NIBS representation 1 year ago
sub-07 c0fb35a8ab upload new eeg and NIBS representation 1 year ago
sub-08 c435a7174d upload new eeg and NIBS representation 1 year ago
sub-09 21823e08d1 upload new eeg and NIBS representation 1 year ago
sub-10 dbe5e224db upload new eeg and NIBS representation 1 year ago
sub-11 2e0f164b73 upload new eeg and NIBS representation 1 year ago
sub-12 758c15f854 upload new eeg and NIBS representation 1 year ago
sub-13 81a6fdba1e upload new eeg and NIBS representation 1 year ago
sub-14 a9ddf0dcb8 upload new eeg and NIBS representation 1 year ago
sub-15 7be69bfda2 upload new eeg and NIBS representation 1 year ago
sub-16 5ef9f25ea7 upload new eeg and NIBS representation 1 year ago
.bidsignore baabc983e0 modality agnostic 2 years ago
LICENSE 49b3ff9c77 Initial commit 3 years ago
README.md e7781c391b Update 'README.md' 2 years ago
code 7e2a23dd09 Add 'code' 1 week ago
datacite.yml 83beb1cf7d Update 'datacite.yml' 2 years ago
dataset_description.json baabc983e0 modality agnostic 2 years ago
participants.json baabc983e0 modality agnostic 2 years ago
participants.tsv baabc983e0 modality agnostic 2 years ago

README.md

Concurrent Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG) for the exploration of brain connectivity

from: *The impact of artifact removal approaches on TMS–EEG signal Giacomo Bertazzoli, Romina Esposito, Tuomas P. Mutanen, Clarissa Ferrari, Risto J. Ilmoniemi, Carlo Miniussi, Marta Bortoletto NeuroImage, 2021 https://doi.org/10.1016/j.neuroimage.2021.118272

BIDS structure Data are compliant with the EEG-BIDS structure. Information about the TMS equipment are stored in */_TMSspec.json . Information about the stimulation event are stored in *_events.tsv, *events.json and *_coordsystem.json.

To download the whole dataset Be aware that if you click the button "download archive" on the top right you will get the full database structure but NOT the data >10 MB. If you use Windows, we suggest to use the WinGIN client to download the full dataset. Instruction to get WinGIN --> https://gin.g-node.org/G-Node/Info/wiki/WinGIN+Install . Tutorial on WinGIN usage --> https://gin.g-node.org/G-Node/Info/wiki/WinGIN+Tutorial If you are on Linux/Mac, use the Line GIN Client (gincli) --> https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Setup usage --> https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Usage+Tutorial . The line client can be used also on Windows. More info here --> https://gin.g-node.org/G-Node/info/wiki .

Participants Sixteen healthy volunteers (age 24.5 ± 2.8, 7 females) were enrolled in the experiment. Each participant gave a written informed consent for participating in this study and was screened for MRI and TMS compatibility (Rossi et al., 2009; Sammet, 2016). Each subject underwent three experimental sessions: in the first session, MRI and fMRI were acquired to obtain individualized structural and functional localization of the default-mode network (DMN); the other two identical sessions (test–retest) were 72.3 ± 35.8 days apart and involved TMS–EEG coregistration during DMN stimulation.

MRI data acquisition High-resolution anatomical images were acquired with two T1-weighted anatomical scans (MP-RAGE; 1x1x1 mm3; FOV, 256224 mm2; 176 slices; GRAPPA acquisition with an acceleration factor of 2; TR, 2700/ 2500 ms; TE, 4.18/ 3.37 ms; inversion time (TI), 1020/ 1200 ms; 7° / 12° flip angle), through a 4T Siemens MedSpec Synco MR scanner and a birdcage transmit 8-channel receive head radiofrequency coil. Single shot T2*-weighted gradient-recalled echo-planar imaging (EPI) sequence was used to acquire functional images. A 30-slice protocol was used, acquiring each slice in ascending interleaved order, within a repletion time (TR) of 2000 ms (voxel resolution, 3x3x3 mm3; echo time (TE), 28 ms; flip angle (FA), 73°; field of view (FOV), 192x192 mm2). Each run consisted of 200 volumes. In the current online version of the dataset you will find only the non-reidentifiable neuroimages, that is: functional and diffusion-weighted images, including the metadata, stored in json files. Metadata related to structural acquisitions is included within the json files and it is ready to be downloaded.

Accessing Structural data Position of the structural data is indicated through text placeholders referring to the actual files, which are not included in this dataset. Should you need the structural images, please file a request and we will send you a Data Use Agreement with instructions to access the data.

TMS protocol and targeting Single-pulse TMS was delivered through a Magstim Rapid magnetic stimulator (Magstim, Whitland, UK) and a 70-mm figure-of-eight coil. In each session, the coil location corresponding to the hotspot for the right first dorsal interosseous muscle stimulation was identified and the resting motor threshold (rMT) was measured as the lowest intensity producing motor-evoked potentials of over 50µV in a minimum of 5 out of 10 trials in the electromyogram recorded with bipolar montage (Rossini et al., 2015). Thereafter, the stimulator intensity was set at 100% of the rMT. Four nodes of the DMN extracted from functional maps (see supplementary materials for details) were stimulated: left and right dorsolateral prefrontal cortex (DLPFC) and left and right inferior parietal lobule (IPL). The Talairach coordinates of the point of local maxima in each node and the structural MRI images were input to the SofTaxic Neuronavigation system (E.M.S. , Bologna, Italy) to guide an accurate and consistent positioning of the TMS coil. The order of stimulation target was randomized across participants. On each site, 120 biphasic TMS pulses were delivered with an inter-stimulus interval of 2–10 seconds. The coil was placed by the experimenter in a position tangential to the scalp, with an angle of approximately 45° between the interhemispheric sulcus and the coil handle, with the handle pointing backwards, for the DLPFC and 10° for the IPL.

EEG data acquisition EEG signals were acquired with a BrainAmp DC TMS-compatible system (BrainProducts GmbH, Germany), with a continuous recording from BrainCap 62 TMS-compatible Ag/AgCl-coated Multitrode electrodes (BrainProducts GmbH, Germany) positioned on the scalp according to the 10/10 International System. One electrode was placed to the left-eye temporal canthus to detect horizontal eye movements, and another electrode was placed beneath the left eye to detect vertical eye movements and blinks. TP9 was used as online reference. The ground electrode was placed at FPz. Signals from all channels were band-pass filtered at 0.1–1000 Hz and digitized at the sampling rate of 5 kHz. The skin–electrode impedance was kept below 5 kΩ. Trigger marks at the TMS pulse delivery were sent to the EEG system using a customized MATLAB script (MathWorks®, Inc., Massachusetts, USA).

datacite.yml
Title Concurrent Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG) for the exploration of brain connectivity
Authors Bertazzoli,Giacomo;CIMeC - University of Trento;ORCID: 0000-0003-1624-2576
Esposito,Romina;CIMeC - University of Trento;ORCID: 0000-0002-7407-9917
Iacovella,Vittorio;CIMeC - University of Trento;ORCID: 0000-0002-0853-1573
Bortoletto,Marta;IRCCS Centro S Giovanni di Dio Fatebenefratelli, Brescia IT;ORCID: 0000-0002-8489-8043
Miniussi,Carlo;CIMeC - University of Trento;ORCID: 0000-0002-5436-4745
Description Concurrent TMS-EEG was used to record the brain response to single TMS pulses i.e. TMS-evoked potentials (TEPs) on healthy young subjects. TMS was delivered on the parietal and prefrontal nodes of the default-mode network (DMN) extracted from the fMRI of each participant. For each subject, the dataset contains the TMS-EEG recording for each area (IPL, DLPFC - right,left hemisphere), structural, functional and diffusion-tensor MR imaging data.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Giacomo Bertazzoli, Romina Esposito, Tuomas P. Mutanen, Clarissa Ferrari, Risto J. Ilmoniemi, Carlo Miniussi, Marta Bortoletto, The impact of artifact removal approaches on TMS–EEG signal, NeuroImage(2021), doi:https://doi.org/10.1016/j.neuroimage.2021.118272 [doi.org/10.1016/j.neuroimage.2021.118272] (article)
Funding This work was supported by the Center of Mind/Brain Sciences - CIMeC – University of Trento by Fondazione Caritro
Keywords Neuroscience
Electrophysiology
Magnetic stimulation
TMS-EEG
TMS
EEG
Effective connectivity
Connectivity
DTI
fMRI
MRI
BIDS
EEG-BIDS
Resource Type Dataset